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BMI does not capture the high fat mass index and low fat-free mass index in children with cerebral palsy and proposed statistical models that improve this accuracy

BACKGROUND/OBJECTIVES: Children with cerebral palsy (CP) are at risk for having a misclassified overweight/obesity status based on BMI thresholds due to their lower fat-free mass and similar fat mass compared to typically developing children. The primary objective was to determine if BMI could predi...

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Detalles Bibliográficos
Autores principales: Whitney, Daniel G., Miller, Freeman, Pohlig, Ryan T., Modlesky, Christopher M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8007077/
https://www.ncbi.nlm.nih.gov/pubmed/30181652
http://dx.doi.org/10.1038/s41366-018-0183-1
Descripción
Sumario:BACKGROUND/OBJECTIVES: Children with cerebral palsy (CP) are at risk for having a misclassified overweight/obesity status based on BMI thresholds due to their lower fat-free mass and similar fat mass compared to typically developing children. The primary objective was to determine if BMI could predict fat mass index (FMI) and fat-free mass index (FFMI) in children with CP. SUBJECTS/METHODS: Forty-two children with CP and 42 typically developing children matched to children with CP for age and sex participated in the study. Dual-energy x-ray absorptiometry was used to assess body composition. Childrenwith CP who could ambulate without assistance were considered ambulatory (ACP) and the rest were considered nonambulatory (NACP). RESULTS: Children with CP had higher percent body fat (%Fat) and FMI and lower fat-free mass and FFMI than controls (p < 0.05) but no difference in fat mass (p = 0.10). When BMI wasstatistically controlled, NACP had higher %Fat, fat mass and FMI and lower FFMI than ACP and controls (p < 0.05). NACP also had lower fat-free mass than controls (p < 0.05). ACP had higher %Fat and FMI and lower fat-free mass and FFMI than controls (p < 0.05). BMIwas a strong predictor of FMI (r(2) = 0.83) and a moderately-strongpredictor of FFMI (r(2) = 0.49) in children with CP (both p < 0.01). Prediction of FMI (R(2) = 0.86) and FFMI (R(2) = 0.66) from BMI increased (p < 0.05) whenage, sex and ambulatory status were included. CONCLUSION: Compared to typically developing children, children with CP have a higher FMI and lower FFMI for a given BMI which is more pronounced in NACP than ACP. The finding suggests that the prevalence of overweight/obesity status may be underestimated in children with CP.